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7 pages, 520 KiB  
Communication
The First Molecular Detection of Theileria luwenshuni from Haemaphysalis mageshimaensis on Orchid Island, Taiwan, with No Evidence of SFTSV
by Pai-Shan Chiang, I-Jung Tsai, Yuan-Wei Hu, Hung-Jui Chen, I-Jen Chen, Hwa-Jen Teng and Shiu-Ling Chen
Pathogens 2025, 14(3), 241; https://doi.org/10.3390/pathogens14030241 - 3 Mar 2025
Viewed by 224
Abstract
Theileriosis is considered an economically important disease that may decrease productivity and cause a high mortality rate in livestock. Only a few studies have reported Theileria spp., such as T. sergenti and T. buffeli, in recent decades in Taiwan. In the present [...] Read more.
Theileriosis is considered an economically important disease that may decrease productivity and cause a high mortality rate in livestock. Only a few studies have reported Theileria spp., such as T. sergenti and T. buffeli, in recent decades in Taiwan. In the present study, 401 ticks have been collected on Orchid Island in June 2022 and April 2023. Our environmental investigation for SFTSV unintentionally discovered T. luwenshuni in Haemaphysalis mageshimaensis on Orchid Island via PCR. The PCR products were sequenced, and the detected 18S rRNA gene sequences shared a 99.65–99.93% identity with T. luwenshuni sequences from ticks and ruminants in Myanmar and China. Despite the difficulty in clarifying the source of T. luwenshuni within neighboring regions, our findings provide an updated distribution of T. luwenshuni in Asia. This is not only the first time that T. luwenshuni was found in H. mageshimaensis but also the first report of T. luwenshuni on Orchid Island, Taiwan. Our study indicates that ruminants may be at risk of infection. Therefore, further investigations are needed to determine the distribution of T. luwenshuni among ruminants on Orchid Island and in Taiwan. Full article
(This article belongs to the Special Issue Ticks and Tick-Borne Pathogens in a Changing World)
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<p>Map showing the relative location and the size of Orchid Island in East Asia.</p>
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<p><b>Phylogenetic relationships of the sequence of the <span class="html-italic">T. luwenshuni</span> strain.</b> A neighbor-joining phylogenetic tree was constructed based on partial 18S rRNA gene sequences (1439 nt long) of <span class="html-italic">Theileria</span> spp. Bootstrap values (&gt;70%) at the nodes of the tree are shown as percentages derived from 1000 samplings. The scale bar denotes the number of nucleotide substitutions per site along the branches. The solid dot indicates the <span class="html-italic">T. luwenshuni</span> strain detected in this study.</p>
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18 pages, 1201 KiB  
Review
Emerging Arboviral Diseases in Pakistan: Epidemiology and Public Health Implications
by Muhammad Ammar, Muhammad Moaaz, Chaoxiong Yue, Yaohui Fang, Yanfang Zhang, Shu Shen and Fei Deng
Viruses 2025, 17(2), 232; https://doi.org/10.3390/v17020232 - 7 Feb 2025
Cited by 1 | Viewed by 797
Abstract
Arboviruses pose significant public health challenges globally, particularly in Pakistan, where deforestation, climate change, urbanization, inadequate sanitation, and natural disasters have all contributed to the spread of mosquito-borne flavivirus diseases like dengue fever. The lack of a thorough national surveillance system has made [...] Read more.
Arboviruses pose significant public health challenges globally, particularly in Pakistan, where deforestation, climate change, urbanization, inadequate sanitation, and natural disasters have all contributed to the spread of mosquito-borne flavivirus diseases like dengue fever. The lack of a thorough national surveillance system has made it difficult to determine the extent and distribution of these diseases. Concern has been raised by recent outbreaks of West Nile virus (WNV) and chikungunya (CHIKV) epidemics, which may lead to Zika virus (ZIKV) outbreaks in the future. Additionally, hospital-based surveillance has detected the Japanese encephalitis virus (JEV) in the region. Evidence also points to the presence of additional arboviruses in healthy populations, such as the Karshi virus (KSV), Tamdy virus (TAMV), Crimean–Congo hemorrhagic fever virus (CCHFV), and severe fever with thrombocytopenia syndrome virus (SFTSV). This review aims to address the risk factors linked to these diseases, provide specific policy recommendations for efficient disease prevention and control, and describe the epidemiological trends of these diseases in Pakistan while emphasizing the critical need for improved surveillance and thorough epidemiological investigations. Full article
(This article belongs to the Section Human Virology and Viral Diseases)
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<p>Annual distribution of reported arbovirus cases across provinces in Pakistan, highlighting regional incidence variations.</p>
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17 pages, 10487 KiB  
Article
Analysis of Gene Differences Between F and B Epidemic Lineages of Bandavirus Dabieense
by Wenzhou Ma, Yujia Hao, Chengcheng Peng, Duo Zhang, Yuge Yuan, Pengpeng Xiao and Nan Li
Microorganisms 2025, 13(2), 292; https://doi.org/10.3390/microorganisms13020292 - 28 Jan 2025
Viewed by 617
Abstract
The prevalence of SFTS is becoming increasingly widespread and is expected to become a significant security issue. The article discusses the prevalence regions and genetic differences in two SFTSV lineages, so as to provide a scientific data basis for the clinical control and [...] Read more.
The prevalence of SFTS is becoming increasingly widespread and is expected to become a significant security issue. The article discusses the prevalence regions and genetic differences in two SFTSV lineages, so as to provide a scientific data basis for the clinical control and prevention of fever with thrombocytopenia syndrome. The literature involving SFTSV patients from 2009 to 2023 and SFTSV complete genome sequences uploaded by NCBI were collected and sorted out, based on time and SFTSV lineage division, we analyzed viral gene sequence. SFTSV patient data were continuously reported from 2009 to 2023, involving five countries including China, South Korea, Japan, Thailand, and Vietnam. There are obvious lineage and host divisions between the SFTSV lineages prevalent in China and abroad. The sources of B-lineage SFTSV samples are mainly concentrated in South Korea, Japan, and the middle and lower reaches of Hubei or Zhejiang in China, with half of the samples coming from humans and half from animals, and the F series SFTSV samples were mainly collected from provinces such as Anhui and Henan in China, with the main source being human patients. The F-lineage SFTSV is the highest proportion in the middle and upper provinces in China. The B lineage has recently appeared in Zhejiang and Taiwan and is prevalent abroad. Using prediction software based on molecular structure prediction technology, analyze the differences between the B and F lineages of SFTSV through prediction methods such as nucleotide mutations, gene recombination, mutation sites, and evolution rates. Conclusively, the differences in SFTSV between B and F lineages may be related to gene recombination of M and L fragments, it was also found that the B lineage had a lower recombination rate and mutation rate than the F lineage, and the evolutionary rate was prominently different. Comparative analysis of the differences in two SFTSV lineage genes could further understand the epidemic status of SFTSV and provide help and more insights for the prevention of the spread of specific types of SFTSV. Full article
(This article belongs to the Section Virology)
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<p>SFTSV epidemic timeline. By searching for the literature related to SFTSV, a timeline of prevalence was plotted. The upper part of the timeline shows the prevalence of SFTSV patients from different countries, while the lower part shows the detection of SFTSV in animals from different countries. Connecting lines at different years indicated the existence of temporal continuity, while unconnected lines indicated detection only within the current year.</p>
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<p>SFTSV ML tree for lineage division. (<b>A</b>) SFTSV S fragment ML tree. (<b>B</b>) SFTSV M fragment ML tree. (<b>C</b>) SFTSV L fragment ML tree. The color in the innermost circle represents the lineage, the middle of the circle represents the host, and the outermost circle represents the sample source of the country.</p>
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<p>Scatter plot of SFTSV mutation frequency analysis. (<b>A</b>) Analysis of all sequence mutations in SFTSV. (<b>B</b>) Analysis of mutations in B-lineage SFTSV. (<b>C</b>) Analysis of mutations in F-lineage SFTSV.</p>
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<p>Structural simulation of mutant proteins in F and B Lineage SFTSV. Yellow represents unique mutations in the B lineage, blue represents unique mutations in the F lineage, and green represents common mutations in the two lineage.</p>
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<p>SFTSV functional site prediction. (<b>A</b>) Visualization of SFTSV fragments and encoded proteins, with fragment colors corresponding to protein functional site prediction. (<b>B</b>) Prediction of palmitoylation sites in F and B-lineage SFTSV (In order to standardize the format, they are all seven characters long, ** representing the absence of amino acids). (<b>C</b>) Prediction of N-glycosylation sites in F and B-lineage SFTSV.</p>
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<p>F and B lineages of SFTSV MCC trees. The MCC tree is visualized in Figtree, where the color of the tree branch endpoints corresponds to the country.</p>
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<p>SFTSV F and B lineage spread prediction map. (<b>A</b>) SFTSV F and B lineage Asian spread prediction map. The red dot represents the capital of the country, the yellow arc line represents the spread pathway of B-lineage SFTSV, the blue arc line represents the spread pathway of F-lineage SFTSV, the arrow represents the direction of spread, and the thickness of the arc line represents the possibility of spread. (<b>B</b>) SFTSV F and B lineage China spread prediction map. The meaning represented by the arc line is the same as above. The light blue area shows the province used for spread analysis.</p>
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20 pages, 6032 KiB  
Article
Developmental Proteomics Reveals the Dynamic Expression Profile of Global Proteins of Haemaphysalis longicornis (Parthenogenesis)
by Min-Xuan Liu, Xiao-Pei Xu, Fan-Ming Meng, Bing Zhang, Wei-Gang Li, Yuan-Yuan Zhang, Qiao-Ying Zen and Wen-Ge Liu
Life 2025, 15(1), 59; https://doi.org/10.3390/life15010059 - 6 Jan 2025
Viewed by 610
Abstract
H. longicornis is used as an experimental animal model for the study of three-host ticks due to its special life cycle and easy maintenance in the laboratory and in its reproduction. The life cycle of H. longicornis goes through a tightly regulated life [...] Read more.
H. longicornis is used as an experimental animal model for the study of three-host ticks due to its special life cycle and easy maintenance in the laboratory and in its reproduction. The life cycle of H. longicornis goes through a tightly regulated life cycle to adapt to the changing host and environment, and these stages of transition are also accompanied by proteome changes in the body. Here, we used the isobaric tags for a relative and absolute quantification (iTRAQ) technique to systematically describe and analyze the dynamic expression of the protein and the molecular basis of the proteome of H. longicornis in seven differential developmental stages (eggs, unfed larvae, engorged larvae, unfed nymphs, engorged nymphs unfed adults, and engorged adults). Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis of the differentially expressed proteins (DEPs) were used. In our study, A total of 2044 proteins were identified, and their expression profiles were classified at different developmental stages. In addition, it was found that tissue and organ development-related proteins and metabolism-related proteins were involved in different physiological processes throughout the life cycle through the GO and KEGG analysis of DEPs. More importantly, we found that the up-regulated proteins of engorged adult ticks were mainly related to yolk absorption, degradation, and ovarian development-related proteins. The abundance of the cuticle proteins in the unfed stages was significantly higher compared with those of the engorged ticks in the previous stages. We believe that our study has made a significant contribution to the research on H. longicornis, which is an important vector of SFTSV. In this study, we identified changes in the proteome throughout the H. longicornis development, and functional analysis highlighted the important roles of many key proteins in developmental events (ovarian development, the molting process, the development of midgut, the development and degeneration of salivary glands, etc.). The revelation of this data will provide a reference proteome for future research on tick functional proteins and candidate targets for elucidating H. longicornis development and developing new tick control strategies. Full article
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Graphical abstract

Graphical abstract
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<p>(<b>A</b>) Wayne diagram of the total proteins identified by three repeated experiments on <span class="html-italic">H. longicornis</span>. R1, repeat 1; R2, repeat 2; and R3, repeat 3. (<b>B</b>) Distribution of the specific peptides and (<b>C</b>) protein coverage distribution.</p>
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<p>Comparative analysis of the differentially expressed proteins (DEPs) in the different developmental stages of <span class="html-italic">H. longicornis</span>. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph.</p>
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<p>The heat map represents the proteome analysis results of six genes compared across different developmental stages, while the bar graph of (<b>A</b>–<b>F</b>) displays the RT-qPCR analysis results for CRK, flotillin, Mo-25, dystrophin, septin-1, and septin-2, respectively). EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Chitin-binding proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Digestion-related proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Vitellogenin (Vg)-related proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Cuticle-related proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Membrane proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Salivary proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Secreted proteins. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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<p>Gene Ontology (GO) enrichment for the differentially expressed proteins (DEPs) (<span class="html-italic">p</span> &lt; 0.05) of the different life stages of <span class="html-italic">H. longicornis</span>. (<b>A</b>) Unfed larva vs. egg, (<b>B</b>) engorged larva vs. unfed larva, and (<b>C</b>) unfed nymph vs. engorged larva. GO functional annotations in the three main categories: molecular function, cellular component, and biological process.</p>
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<p>Gene Ontology (GO) enrichment for the differentially expressed proteins (DEPs) (<span class="html-italic">p</span> &lt; 0.05) of the different life stages of <span class="html-italic">H. longicornis</span>. (<b>A</b>) Engorged nymph vs. unfed nymph, (<b>B</b>) unfed adult vs. engorged nymph, and (<b>C</b>) engorged adult vs. unfed adult. The GO functional annotations are in three main categories: molecular function, cellular component, and biological process.</p>
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<p>Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the differentially expressed proteins (DEPs) (<span class="html-italic">p</span> &lt; 0.05) of the different life stages of <span class="html-italic">H. longicornis</span>. <span class="html-italic">p</span> &lt; 0.05 indicates significant enrichment in the development-related pathways. The top 20 pathways are shown. (<b>A</b>) Unfed larva vs. egg, (<b>B</b>) engorged larva vs. unfed larva, and (<b>C</b>) unfed nymph vs. engorged larva. The KEGG enrichment was measured by the Rich factor, <span class="html-italic">q</span>-value, and the number of genes enriched in this pathway. The colors and sizes of the spots represent the <span class="html-italic">q</span>-values and the number of target genes, respectively. EE, egg; UL, unfed larva; FL, engorged larva; UN, unfed nymph.</p>
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<p>Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis of the differentially expressed proteins (DEPs) (<span class="html-italic">p</span> &lt; 0.05) of the different life stages of <span class="html-italic">H. longicornis</span>. <span class="html-italic">p</span> &lt; 0.05 indicates significant enrichment in the development-related pathways. The top 20 pathways are shown. (<b>A</b>) engorged nymph vs. unfed nymph, (<b>B</b>) unfed adult vs. engorged nymph, and (<b>C</b>) engorged adult vs. unfed adult. The KEGG enrichment was measured by the Rich factor, <span class="html-italic">q</span>-value, and number of genes enriched in this pathway. The colors and sizes of the spots represent the <span class="html-italic">q</span>-values and the number of target genes, respectively. UN, unfed nymph; FN, engorged nymph; UA, unfed adult; FA, engorged adult.</p>
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14 pages, 4428 KiB  
Article
Development of 111In-Labeled Monoclonal Antibodies Targeting SFTSV Structural Proteins for Molecular Imaging of SFTS Infectious Diseases by SPECT
by Takeshi Fuchigami, Mya Myat Ngwe Tun, Yusuke Tanahara, Kodai Nishi, Sakura Yoshida, Kazuma Ogawa, Morio Nakayama and Daisuke Hayasaka
Molecules 2025, 30(1), 38; https://doi.org/10.3390/molecules30010038 - 26 Dec 2024
Viewed by 728
Abstract
No effective vaccines or treatments are currently available for severe fever with thrombocytopenia syndrome (SFTS), a fatal tick-borne infectious disease caused by the SFTS virus (SFTSV). This study evaluated the potential of 111In-labeled anti-SFTSV antibodies targeting SFTSV structural proteins as single-photon emission [...] Read more.
No effective vaccines or treatments are currently available for severe fever with thrombocytopenia syndrome (SFTS), a fatal tick-borne infectious disease caused by the SFTS virus (SFTSV). This study evaluated the potential of 111In-labeled anti-SFTSV antibodies targeting SFTSV structural proteins as single-photon emission computed tomography (SPECT) imaging agents for the selective visualization of SFTSV-infected sites. This study used nuclear medicine imaging to elucidate the pathology of SFTS and assess its therapeutic efficacy. Immunostaining experiments confirmed that the anti-SFTSV antibody (N-mAb), which targets the N protein, specifically accumulated in SFTSV-infected Vero E6 cells. 111In-labeled N-mAb was successfully prepared using a diethylenetriaminepentaacetic acid (DTPA) chelator, resulting in [111In]In-DTPA-N-mAb with high radiochemical purity exceeding 95% and a radiochemical yield of 55%. Cell-binding assays using SFTSV-infected Vero E6 cells demonstrated that [111In]In-DTPA-N-mAb binding was detectable even without membrane permeabilization, with the binding intensity correlating with infection levels. In vivo studies using SFTSV-infected A129 mice showed high spleen accumulation of [111In]In-DTPA-N-mAb (87.5% ID/g), consistent with SFTSV tropism, compared to 12.3% ID/g in mock-infected mice. SPECT/CT imaging clearly revealed high radioactivity in these regions. Although nonspecific accumulation was noted in the liver and spleen, this issue may be mitigated through antibody modifications such as fragmentation or PEGylation. Overall, [111In]In-DTPA-N-mAb is a promising imaging agent for non-invasive visualization of SFTSV-infected sites and may aid in elucidating SFTS pathology and assessing therapeutic efficacy. Full article
(This article belongs to the Special Issue New Insights into Radiopharmaceuticals)
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<p>Fluorescence images of the SFTSV antibody targeting N protein (Primary Ab: 4A10) (<b>A</b>), Gn protein (2D4) (<b>B</b>), and Gc protein (3B4) (<b>C</b>) in Vero E6 cells infected with SFTSV at mock-infected or multiplicity of infection (MOI)-0.1. The secondary antibody was FITC-conjugated anti-mouse IgG (green), and DAPI was used for nuclear staining (blue). Scale bar = 100 µm.</p>
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<p>In vitro binding of <sup>111</sup>In-labeled IgG ([<sup>111</sup>In]In-DTPA-cIgG, [<sup>111</sup>In]In-DTPA-N-mAb) in SFTSV-infected (MOI-0.01, MOI-0.1) and mock-infected Vero E6 cells. Vero E6 cells were processed as only fixation (<b>A</b>) or fixation and permeabilization (<b>B</b>). ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001 (two-way ANOVA with Tukey’s post hoc test). Values are mean ± SEM, n = 5–10.</p>
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<p>Biodistribution of [<sup>111</sup>In]In-DTPA-N-mAb in mock- or SFTSV-infected (3 days p.i.) A129 mice. [<sup>111</sup>In]In-DTPA-N-mAb was injected intravenously via the tail vein into the mock- or SFTSV- infected mice. To evaluate the biodistribution, after 24 h the mice were sacrificed, and the organs were dissected. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001 for mock-infected mice vs. SFTSV-infected mice (multiple unpaired <span class="html-italic">t</span>-test). Data are represented as the percentage of injected dose (%ID)/g ± SD (n = 5–6).</p>
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<p>Representative axial (left panels), coronal (middle panels), and sagittal (right panels) SPECT/CT images of mock-infected (<b>A</b>) and SFTSV-infected (<b>B</b>) A129 mice 3 days after infection. SPECT/CT images were acquired 24 h after intravenous injection of [<sup>111</sup>In]In-DTPA-N-mAb. The arrows indicate the liver (yellow), spleen (red), and gastrointestinal tract (green).</p>
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<p>Analysis of the SPECT/CT images of [<sup>111</sup>In]In-DTPA-N-mAb in SFTSV-infected mouse using the CPR method. The cross-sectional image (<b>A</b>) was reconstructed along the red line in the SFTSV-infected mouse SPECT/CT imaging data (<b>B</b>).</p>
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<p>Preparation of [<sup>111</sup>In]In-DTPA-cIgG and [<sup>111</sup>In]In-DTPA-N-mAb.</p>
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24 pages, 1824 KiB  
Article
Safety, Immunogenicity, and Efficacy of a Recombinant Vesicular Stomatitis Virus Vectored Vaccine Against Severe Fever with Thrombocytopenia Syndrome Virus and Heartland Bandavirus
by Philip Hicks, Tomaz B. Manzoni, Jonna B. Westover, Raegan J. Petch, Brianne Roper, Brian B. Gowen and Paul Bates
Vaccines 2024, 12(12), 1403; https://doi.org/10.3390/vaccines12121403 - 12 Dec 2024
Viewed by 1229
Abstract
Background: Severe fever with thrombocytopenia syndrome virus (SFTSV) is a recently emerged tickborne virus in east Asia with over 18,000 confirmed cases. With a high case fatality ratio, SFTSV has been designated a high priority pathogen by the WHO and the NIAID. Despite [...] Read more.
Background: Severe fever with thrombocytopenia syndrome virus (SFTSV) is a recently emerged tickborne virus in east Asia with over 18,000 confirmed cases. With a high case fatality ratio, SFTSV has been designated a high priority pathogen by the WHO and the NIAID. Despite this, there are currently no approved therapies or vaccines to treat or prevent SFTS. Vesicular stomatitis virus (VSV) represents an FDA-approved vaccine platform that has been considered for numerous viruses due to its low sero-prevalence in humans, ease in genetic manipulation, and promiscuity in incorporating foreign glycoproteins into its virions. Methods: In this study, we developed a recombinant VSV (rVSV) expressing the SFTSV glycoproteins Gn/Gc (rVSV-SFTSV) and assessed its safety, immunogenicity, and efficacy in C57BL/6, Ifnar−/−, and AG129 mice. Results: We demonstrate that rVSV-SFTSV is safe when given to immunocompromised animals and is not neuropathogenic when injected intracranially into young immunocompetent mice. Immunization of wild type (C57BL/6) and Ifnar−/− mice with rVSV-SFTSV resulted in high levels of neutralizing antibodies and protection in a lethal SFTSV challenge model. Additionally, passive transfer of sera from immunized Ifnar−/− mice into naïve animals was protective when given pre- or post-exposure. Finally, we demonstrate that immunization with rVSV-SFTSV cross protects AG129 mice against challenge with the closely related Heartland bandavirus despite negligible neutralizing titers to the virus. Conclusions: Taken together, these data suggest that rVSV-SFTSV is a promising vaccine candidate for SFTSV and Heartland bandavirus with a favorable safety profile. Full article
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<p>rVSV-SFTSV expresses SFTSV glycoproteins and is attenuated in vitro. (<b>A</b>) Schematic of mutations in SFTSV Gn/Gc that arose during passage. (<b>B</b>) Expression of SFTSV Gn and Gc by cells infected with rVSV-SFTSV. Gn band intensity: 94.86, Gc band intensity: 137.47. The uncropped, unedited blots are shown in <a href="#app1-vaccines-12-01403" class="html-app">Supplementary Materials</a>. (<b>C</b>) Growth kinetics of rVSV-SFTSV and VSV in Vero E6 cells infected at a multiplicity of infection of 0.01. (Two-way ANOVA with Tukey’s multiple comparisons test; *, <span class="html-italic">p</span> &lt; 0.0458; **, <span class="html-italic">p</span> &lt; 0.0024). Images (<b>D</b>) and surface area (<b>E</b>) of plaques created by VSV and rVSV-SFTSV on Vero E6 cell monolayers 48 h post infection. (Unpaired t-test with unequal variance; ****, <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>rVSV-SFTSV has a favorable safety profile compared to rVSV-EBOV and parental VSV. (<b>A</b>) Weight change, (<b>B</b>) survival proportions, (<b>C</b>) and maximal neurologic disease severity score in C57BL/6 mice challenged intracranially (IC) with 10<sup>1</sup>, 10<sup>2</sup>, or 10<sup>3</sup> PFU of parental VSV or rVSV-SFTSV into the right cerebral hemisphere (Mantel–Cox test and ordinary one-way ANOVA; *, <span class="html-italic">p</span> &lt; 0.0332; **, <span class="html-italic">p</span> &lt; 0.0021; ***, <span class="html-italic">p</span> &lt; 0.0002; ****, <span class="html-italic">p</span> &lt; 0.0001). (<b>D</b>) Survival proportions and (<b>E</b>) weight loss of <span class="html-italic">Ifnar<sup>−/−</sup></span> mice challenged intraperitoneally with PBS or 10<sup>1</sup>, 10<sup>2</sup>, 10<sup>3</sup>, or 10<sup>4</sup> PFU of either rVSV-SFTSV or rVSV-EBOV. Weight changes were reported as percentages of body weight measured immediately pre-challenge. (Mantel–Cox test; *, <span class="html-italic">p</span> &lt; 0.0332; **, <span class="html-italic">p</span> &lt; 0.0021).</p>
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<p>rVSV-SFTSV induces neutralizing antibodies across different mouse strains. (<b>A</b>) <span class="html-italic">Ifnar<sup>−/−</sup></span> mice were immunized with PBS, 10<sup>2</sup>, 10<sup>3</sup>, or 10<sup>4</sup> PFU rVSV-SFTSV. Serum neutralizing antibodies were quantified by measuring 50% decrease in pseudovirus foci, the reciprocal endpoint dilution is shown (Ordinary one-way ANOVA; *, <span class="html-italic">p</span> &lt; 0.0332; **, <span class="html-italic">p</span> &lt; 0.0021; ****, <span class="html-italic">p</span> &lt; 0.0001). (<b>B</b>,<b>C</b>) AG129 mice were vaccinated with varying doses of rVSV-SFTSV and monitored for survival (<b>B</b>) and had serum collected 21 days post vaccination and FRNT<sub>50</sub> was assessed (<b>C</b>) (Mantel–Cox test and ordinary one-way ANOVA; *, <span class="html-italic">p</span> &lt; 0.0332; **, <span class="html-italic">p</span> &lt; 0.0021; ***, <span class="html-italic">p</span> &lt; 0.0002). (<b>D</b>) Wild-type C57BL/6 mice were immunized with rVSV-SFTSV and had serum neutralization titers determined at 21 days post treatment (Ordinary one-way ANOVA; *, <span class="html-italic">p</span> &lt; 0.0332; **, <span class="html-italic">p</span> &lt; 0.0021). Horizontal dotted lines indicate the limit of detection (LOD) of the assay.</p>
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<p>Vaccination with rVSV-SFTSV protects <span class="html-italic">Ifnar</span><sup><span class="html-italic">−/−</span></sup> mice from lethal SFTSV challenge. (<b>A</b>) Survival proportions and (<b>B</b>) percent weight change in <span class="html-italic">Ifnar<sup>−/−</sup></span> mice challenged subcutaneously with 10 PFU SFTSV (blue arrow) 23 days after IP vaccination with PBS, or 10<sup>2</sup>, 10<sup>3</sup>, or 10<sup>4</sup> PFU rVSV-SFTSV (red arrow). Weight change is reported as percentage change in body weight relative to starting weight prior to vaccination. One group of mice received favipiravir daily for eight days following SFTSV challenge to serve as a positive control for protection. (Mantel–Cox test; **, <span class="html-italic">p</span> &lt; 0.0021; ****, <span class="html-italic">p</span> &lt; 0.0001). (<b>C</b>) SFTSV titers in serum liver, spleen, and kidney five days post-challenge from mice subjected to the same vaccination schedule as those in (<b>A</b>,<b>B</b>). Horizontal dotted lines indicate the limit of detection of the assay (Ordinary one-way ANOVA; **, <span class="html-italic">p</span> &lt; 0.0021; ***, <span class="html-italic">p</span> &lt; 0.0002; ****, <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>Passive transfer of sera from immunized mice protects naïve mice against SFTSV challenge. Survival (<b>A</b>) and weight loss (<b>B</b>) curves are shown from naïve animals receiving immune sera either 2 days prior to or 2 days post challenge with 10 PFU of SFTSV. Mice immunized with 10<sup>3</sup> PFU of the rVSV-SFTSV 7 days prior to challenge served as the positive control. Blue arrow, immunization with rVSV-SFTSV 7 days prior to challenge; Red arrow, passive transfer 2 days prior to challenge; Yellow arrow, SFTSV challenge; Teal arrow, passive transfer 2 days post SFTSV challenge. (Mantel–Cox test; **, <span class="html-italic">p</span> &lt; 0.0021; ***, <span class="html-italic">p</span> &lt; 0.0002; ****, <span class="html-italic">p</span> &lt; 0.0001).</p>
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<p>rVSV-SFTSV vaccination cross-protects animals against MA-HRTV challenge. AG129 mice were IP immunized with escalating doses of rVSV-SFTSV then challenged with MA-HRTV 21 days post immunization. (<b>A</b>) Survival and (<b>B</b>) weight loss curves are shown from immunization until completion of experiment. Black arrows indicate vaccination and challenge times at −21 and 0 days respectively (Mantel–Cox test; **, <span class="html-italic">p</span> &lt; 0.0021; ****, <span class="html-italic">p</span> &lt; 0.0001). (<b>C</b>) Four animals in each vaccination group were sacrificed 5 days post challenge to assess serum, liver, and spleen virus titers (Ordinary one-way ANOVA; **, <span class="html-italic">p</span> &lt; 0.0021; ***, <span class="html-italic">p</span> &lt; 0.0002) (<b>D</b>) Sera was collected from subsets of animals 21 days post immunization and prior to HRTV challenge. Sera was analyzed for neutralizing antibodies against HRTV using a pseudotyped virus with the HRTV Gn/Gc glycoprotein. Horizontal dotted lines indicate the limit of detection (LOD) of the assay (Ordinary one-way ANOVA; **, <span class="html-italic">p</span> &lt; 0.0021; ***, <span class="html-italic">p</span> &lt; 0.0002).</p>
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14 pages, 3140 KiB  
Article
Analysis of Changes in Viral Load and Inflammatory Cytokines, as Well as the Occurrence of Secondary Infections, in SFTS Patients Treated with Specific Treatments: A Prospective Multicenter Cohort Study
by Jun-Won Seo, You Mi Lee, Sadia Tamanna, Mi-Seon Bang, Choon-Mee Kim, Da Young Kim, Na Ra Yun, Jieun Kim, Sook In Jung, Uh Jin Kim, Seong Eun Kim, Hyun Ah Kim, Eu Suk Kim, Jian Hur, Young Keun Kim, Hye Won Jeong, Jung Yeon Heo, Dong Sik Jung, Hyungdon Lee, Sun Hee Park, Yee Gyung Kwak, Sujin Lee, Seungjin Lim and Dong-Min Kimadd Show full author list remove Hide full author list
Viruses 2024, 16(12), 1906; https://doi.org/10.3390/v16121906 - 11 Dec 2024
Viewed by 877
Abstract
Severe fever with thrombocytopenia syndrome (SFTS) is an acute febrile illness caused by the SFTS virus (SFTSV). We conducted this study to propose a scientific evidence-based treatment that can improve prognosis through changes in viral load and inflammatory cytokines according to the specific [...] Read more.
Severe fever with thrombocytopenia syndrome (SFTS) is an acute febrile illness caused by the SFTS virus (SFTSV). We conducted this study to propose a scientific evidence-based treatment that can improve prognosis through changes in viral load and inflammatory cytokines according to the specific treatment of SFTS patients. This prospective and observational study was conducted at 14 tertiary referral hospitals, which are located in SFTS endemic areas in Korea, from 1 May 2018 to 31 October 2020. Patients of any age were eligible for inclusion if they were polymerase chain reaction positive against SFTSV, or showed a four-fold or higher increase in IgG antibody titers between two serum samples collected during the acute and convalescent phases. On the other hand, patients with other tick-borne infections were excluded. In total, 79 patients were included in the study. The viral load of the group treated with steroids was 3.39, 3.21, and 1.36 log10 RNA copies/reaction at each week since the onset of symptoms, and the viral load in patients treated with plasma exchange was 4.47, 2.60, and 2.00 log10 RNA copies/reaction at each week after symptom onset. The inflammatory cytokines were not reduced effectively by any specific treatment except IVIG for the entire treatment period. Secondary infections according to pathogens revealed four bacterial (26.7%) and one fungal (6.7%) infection in the steroid group. The viral load of SFTSV and inflammatory cytokines cannot be decreased by steroid and plasma exchange treatments. Secondary bacterial infections can occur when steroids are administered for the treatment of SFTS. Therefore, caution should be exercised when choosing treatment strategies for SFTS. Full article
(This article belongs to the Special Issue Severe Fever with Thrombocytopenia Syndrome Virus 3.0)
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<p>Changes in SFTS viral load according to four specific treatments.</p>
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<p>Changes in levels of inflammatory cytokines over time after four specific treatments for SFTS.</p>
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<p>Changes in levels of inflammatory cytokines over time after four specific treatments for SFTS.</p>
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14 pages, 3124 KiB  
Article
Antiviral Activity of Selective Estrogen Receptor Modulators against Severe Fever with Thrombocytopenia Syndrome Virus In Vitro and In Vivo
by Xintong Yan, Chongda Luo, Jingjing Yang, Zhuang Wang, Yunfeng Shao, Ping Wang, Shaokang Yang, Yuexiang Li, Qingsong Dai, Wei Li, Xiaotong Yang, Huimin Tao, Sichen Ren, Zhenyang Li, Xiaojia Guo, Siqi Li, Weiyan Zhu, Yan Luo, Jiazheng Li, Song Li, Ruiyuan Cao and Wu Zhongadd Show full author list remove Hide full author list
Viruses 2024, 16(8), 1332; https://doi.org/10.3390/v16081332 - 20 Aug 2024
Cited by 1 | Viewed by 1313
Abstract
Severe fever with thrombocytopenia syndrome virus (SFTSV), also known as the Dabie Banda virus, is an emerging tick-borne Bunyavirus that causes severe fever with thrombocytopenia syndrome (SFTS). Currently, symptomatic treatment and antiviral therapy with ribavirin and favipiravir are used in clinical management. However, [...] Read more.
Severe fever with thrombocytopenia syndrome virus (SFTSV), also known as the Dabie Banda virus, is an emerging tick-borne Bunyavirus that causes severe fever with thrombocytopenia syndrome (SFTS). Currently, symptomatic treatment and antiviral therapy with ribavirin and favipiravir are used in clinical management. However, their therapeutical efficacy is hardly satisfactory in patients with high viral load. In this study, we explored the antiviral effects of selective estrogen receptor modulators (SERMs) on SFTSV infection and the antiviral mechanisms of a representative SERM, bazedoxifene acetate (BZA). Our data show that SERMs potently inhibited SFTSV-induced cytopathic effect (CPE), the proliferation of infectious viral particles, and viral RNA replication and that BZA effectively protected mice from lethal viral challenge. The mode of action analysis reveals that BZA exerts antiviral effects during the post-entry stage of SFTSV infection. The transcriptome analysis reveals that GRASLND and CYP1A1 were upregulated, while TMEM45B and TXNIP were downregulated. Our findings suggest that SERMs have the potential to be used in the treatment of SFTSV infection. Full article
(This article belongs to the Special Issue Pharmacology of Antiviral Drugs)
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<p>Selective estrogen receptor modulators (SERMs) inhibit severe fever with thrombocytopenia syndrome virus in the Huh7 cell line. The half-maximal effect concentration (EC<sub>50</sub>) and concentration of cytotoxicity 50% (CC<sub>50</sub>) of SERMs were calculated. Huh7 cell lines were co-cultured with gradient-diluted compounds and 100× TCID<sub>50</sub> severe fever with thrombocytopenia syndrome virus for 5–7 days. The left or right y-axes represent the mean % CPE inhibition or cytotoxicity of the drug, respectively. Data were obtained from at least three independent tests. As shown in the figure, (<b>A</b>–<b>H</b>) represents eight SERMs, respectively.</p>
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<p>Selective estrogen receptor modulators significantly inhibit severe fever with thrombocytopenia syndrome virus RNA replication in vitro (quantitative real-time PCR). Huh7 cells were incubated with concentrations of test compounds or vehicle and then inoculated with severe fever with thrombocytopenia syndrome virus at an MOI of 0.1 for 48 h at 37 °C. The cells were treated with TRIzol reagent before quantitative real-time PCR assay. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001; ns, no significance.</p>
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<p>Inhibition effect of selective estrogen receptor modulators on the production of infectious severe fever with thrombocytopenia syndrome virus progeny virions in Huh7 cells. Cells were incubated with different compounds or vehicle (DMSO, dissolvent of the drugs) and inoculated with severe fever with thrombocytopenia syndrome virus at an MOI of 0.1 for 48 h at 37 °C. The supernatant was collected, and infectious viral particles were quantified with PFU assay. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>Bazedoxifene acetate (BZA) reduced severe fever with thrombocytopenia syndrome virus (SFTSV) viremia. Blood viral loads in SFTSV-infected Balb/c mice (<b>A</b>) and A129 mice (<b>B</b>) treated with BZA or vehicle were measured by quantitative real-time PCR. *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001; ns, no significance.</p>
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<p>Bazedoxifene acetate (BZA) protected against severe fever with thrombocytopenia syndrome virus (SFTSV) challenge in vivo. (<b>A</b>,<b>D</b>) Schematic diagram of mice experiments. One-day-old ICR suckling mice were challenged with 1.25 × 10<sup>6</sup> PFU SFTSV per mouse and administered with the indicated doses of BZA intraperitoneally (<b>B</b>,<b>C</b>) or by oral gavage to mother mice (<b>E</b>,<b>F</b>). The daily survival rate and changes in body weight of the mice were monitored for 21 days. Survival data were analyzed with a log-rank test. The data of weight curve were analyzed with unpaired, two-tailed <span class="html-italic">t</span>-tests. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01; ns, no significance.</p>
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<p>Bazedoxifene acetate interferes with severe fever with thrombocytopenia syndrome virus post-entry stage. (<b>A</b>) Scheme of time-of-drug-addition assay. Huh7 cells were seeded and cultured overnight. The virus (MOI = 0.1) was added at 0 h, and drugs were added at indicated time periods (I–IV) to inhibit different stages of the viral life cycle. The polymerase inhibitor T-705 was used as the positive control. (<b>B</b>,<b>C</b>) Intracellular viral RNA or infectious viral titers were quantified by quantitative real-time PCR or PFU, respectively, at 24 hpi. The percentage infection rate was calculated as the “drug-treated group/the virus group”. ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001; ns, no significance.</p>
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<p>Transcriptome analysis of bazedoxifene acetate (BZA) against severe fever with thrombocytopenia syndrome virus (SFTSV). Huh7 cells were inoculated into 12-well plates at 1 × 10<sup>5</sup> cells/well and cultured overnight. Subsequently, cells were infected with 0.1 MOI of SFTSV with the presence of 3 μM of BZA. At 24 hpi, cells were harvested to extract total RNA and subjected to transcriptome analysis. (<b>A</b>) The common and unique differentially expressed genes were identified by a Venn diagram. (<b>B</b>) Minus-versus-add plot identified the complex upregulation and downregulation. (<b>C</b>) The number of differentially expressed genes (DEGs).</p>
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<p>Top enriched GO annotation analysis (<b>A</b>) and KEGG enrichment analysis (<b>B</b>) for differentially expressed genes that were upregulated by severe fever with thrombocytopenia syndrome virus infection and restored by bazedoxifene acetate (BZA) treatment. (<b>C</b>) The heatmap of key DEGs related to severe fever with thrombocytopenia syndrome virus infection and BZA intervention were visualized. The color shows the fold change of detected genes.</p>
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10 pages, 2185 KiB  
Article
The Effect of Tryptophan-to-Tyrosine Mutation at Position 61 of the Nonstructural Protein of Severe Fever with Thrombocytopenia Syndrome Virus on Viral Replication through Autophagosome Modulation
by Ji-Young Park, Amal Senevirathne, Khristine Kaith S. Lloren and John Hwa Lee
Int. J. Mol. Sci. 2024, 25(12), 6394; https://doi.org/10.3390/ijms25126394 - 10 Jun 2024
Viewed by 1473
Abstract
In our prior investigations, we elucidated the role of the tryptophan-to-tyrosine substitution at the 61st position in the nonstructural protein NSsW61Y in diminishing the interaction between nonstructural proteins (NSs) and nucleoprotein (NP), impeding viral replication. In this study, we focused on the involvement [...] Read more.
In our prior investigations, we elucidated the role of the tryptophan-to-tyrosine substitution at the 61st position in the nonstructural protein NSsW61Y in diminishing the interaction between nonstructural proteins (NSs) and nucleoprotein (NP), impeding viral replication. In this study, we focused on the involvement of NSs in replication via the modulation of autophagosomes. Initially, we examined the impact of NP expression levels, a marker for replication, upon the infection of HeLa cells with severe fever thrombocytopenia syndrome virus (SFTSV), with or without the inhibition of NP binding. Western blot analysis revealed a reduction in NP levels in NSsW61Y-expressing conditions. Furthermore, the expression levels of the canonical autophagosome markers p62 and LC3 decreased in HeLa cells expressing NSsW61Y, revealing the involvement of individual viral proteins on autophagy. Subsequent experiments confirmed that NSsW61Y perturbs autophagy flux, as evidenced by reduced levels of LC3B and p62 upon treatment with chloroquine, an inhibitor of autophagosome–lysosome fusion. LysoTracker staining demonstrated a decrease in lysosomes in cells expressing the NS mutant compared to those expressing wild-type NS. We further explored the mTOR-associated regulatory pathway, a key regulator affected by NS mutant expression. The observed inhibition of replication could be linked to conformational changes in the NSs, impairing their binding to NP and altering mTOR regulation, a crucial upstream signaling component in autophagy. These findings illuminate the intricate interplay between NSsW61Y and the suppression of host autophagy machinery, which is crucial for the generation of autophagosomes to facilitate viral replication. Full article
(This article belongs to the Section Molecular Microbiology)
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<p>NSsW61Y regulation of viral replication and autophagosome formation. (<b>A</b>,<b>B</b>) HeLa cells were transfected with plasmids encoding NSs and NSsW61Y for 24 h, followed by infection with SFTSV at an MOI of 0.5 for 24 h. Cell lysates were collected using RIPA lysis buffer and analyzed by Western blot using the indicated antibodies. Quantitative results of expression of NP and NSs were normalized by GAPDH using Image J software. (<b>C</b>,<b>D</b>) NSsW61Y-transfected cells exhibited downregulation of LC3 and p62 levels, as well as NP expression levels. Quantitative results of expression level of LC3II, P62, and NSs were normalized by GAPDH using Image J software. Data from independent experiments are presented as the mean intensity of the protein band ±SEM.</p>
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<p>Dose-dependent downregulation of autophagosome marker levels by NSW61Y expression. (<b>A</b>) HeLa cells were overexpressed by transfection with each recombinant plasmid, and the levels of autophagosome-related genes were analyzed by Western blot assay. (<b>C</b>) Plasmids containing each gene were transfected into HeLa cells in a dose-dependent manner for 24 h. After cell lysis, the target protein expression was examined by Western blot. (<b>B</b>,<b>D</b>) Using Image J software, the quantitative expression levels of P62 and LC3II were normalized by GAPDH. The mean band density ±SEM is utilized for displaying results from independent investigations.</p>
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<p>Effect of NSW61Y on autophagy-related to the lysosome-dependent degradation pathway. (<b>A</b>,<b>B</b>) Transfected HeLa cells were infected with SFTSV at an MOI of 0.5 for 24 h. Following infection, cells were treated with CQ at 100μM for 6 h, and cell lysates were examined by Western blot and analyzed the expressed protein levels of LC3II/GAPDH and P62/GAPDH. (<b>C</b>,<b>D</b>) Cells transfected for 24 h were incubated with LysoTracker deep red for 1 h before being processed for fluorescence microscopy. Quantitative analysis of fluorescence levels are illustrated and the independent experiments are presented as a mean fluorescence intensity ± SEM. (<b>E</b>,<b>F</b>) HeLa cells were co-transfected with recombinant plasmids of NP, NSs, NSsW61Y, NP-NSs, and NP-NSsW61Y, respectively. Cell lysates were evaluated through a Western blot. Representative quantitation of p-mTOR level was normalized by GAPDH and data from independent experiments are presented as a mean band intensity ±SEM.</p>
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18 pages, 2507 KiB  
Article
Clinical Factors Associated with SFTS Diagnosis and Severity in Cats
by Hiromu Osako, Qiang Xu, Takeshi Nabeshima, Jean Claude Balingit, Khine Mya Nwe, Fuxun Yu, Shingo Inoue, Daisuke Hayasaka, Mya Myat Ngwe Tun, Kouichi Morita and Yuki Takamatsu
Viruses 2024, 16(6), 874; https://doi.org/10.3390/v16060874 - 29 May 2024
Cited by 1 | Viewed by 1851
Abstract
Severe fever with thrombocytopenia syndrome (SFTS) is a potentially fatal tick-borne zoonosis caused by SFTS virus (SFTSV). In addition to tick bites, animal-to-human transmission of SFTSV has been reported, but little is known about feline SFTSV infection. In this study, we analyzed data [...] Read more.
Severe fever with thrombocytopenia syndrome (SFTS) is a potentially fatal tick-borne zoonosis caused by SFTS virus (SFTSV). In addition to tick bites, animal-to-human transmission of SFTSV has been reported, but little is known about feline SFTSV infection. In this study, we analyzed data on 187 cats with suspected SFTS to identify biomarkers for SFTS diagnosis and clinical outcome. Body weight, red and white blood cell and platelet counts, and serum aspartate aminotransferase and total bilirubin levels were useful for SFTS diagnosis, whereas alanine aminotransferase, aspartate aminotransferase and serum SFTSV RNA levels were associated with clinical outcome. We developed a scoring model to predict SFTSV infection. In addition, we performed a phylogenetic analysis to reveal the relationship between disease severity and viral strain. This study provides comprehensive information on feline SFTS and could contribute to the protection of cat owners, community members, and veterinarians from the risk of cat-transmitted SFTSV infection. Full article
(This article belongs to the Special Issue Tick-Borne Viruses: Transmission and Surveillance)
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<p>Differences in clinical characteristics between SFTSV-positive and SFTSV-negative cases. Comparison of individual data and laboratory parameters between the SFTSV-negative and SFTSV-positive groups. The analysis included 187 cases that were sampled within 7 days of onset of symptoms and were identified as SFTSV-positive or negative. The black diamonds represent the median values in each group. The blue circles represent the SFTSV-negative group, and the red circles represent the SFTSV-positive group. The gray areas represent the reference ranges for body temperature, RBC, WBC, PLT, ALT, AST, CPK, and TBil. The signs “(−)” and “(+)” within the parentheses stand for “SFTSV-negative” and “SFTSV-positive,”, respectively. Each variable was compared using the Wilcoxon rank-sum test. The statistical significance is shown: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001. See also <a href="#app1-viruses-16-00874" class="html-app">Supplementary Table S2</a>. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BT, body temperature; BW, body weight; CPK, creatine phosphokinase; PLT, platelets; RBC, red blood cells; TBil, total bilirubin; WBC, white blood cells.</p>
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<p>Differences in clinical characteristics between surviving and dead SFTSV-negative and SFTSV-positive cases. Comparison of individual data and laboratory parameters between the surviving and dead SFTSV-negative and SFTSV-positive groups. The black diamonds represent median values in each group. The blue circles or triangles represent the SFTSV-negative group, and the red circles or triangles represent the SFTSV-positive group. The circles and triangles represent individual values of the surviving group and dead group, respectively. The gray areas represent reference ranges for BT, RBC, WBC, PLT, ALT, AST, CPK, and TBil. The signs “(−)” and “(+)” within the parentheses stand for “SFTSV-negative” and “SFTSV-positive”, respectively. Each variable was compared using the Wilcoxon rank-sum test, and statistical significance levels were corrected using the false-discovery rate (FDR). The level of statistical significance is shown: * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01. See also <a href="#app1-viruses-16-00874" class="html-app">Supplementary Tables S3 and S4</a>. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BT, body temperature; BW, body weight; CPK, creatine phosphokinase; D, died; PLT, platelets; RBC, red blood cells; S, survived; TBil, total bilirubin; WBC, white blood cell(s).</p>
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<p>RNA levels in SFTSV-positive cases. RNA levels were measured in the serum, eye swabs, oral swabs, and anal swabs of SFTSV-positive cases. The black circles represent surviving cases and the red circles represent dead cases. The viral loads were compared using the Wilcoxon rank-sum test. (serum: <span class="html-italic">p</span> = 0.019, eye swab: <span class="html-italic">p</span> = 0.381, oral swab: <span class="html-italic">p</span> = 0.525, and anal swab: <span class="html-italic">p</span> = 0.510). Abbreviations: D, died; S, survived. Statistical significance: * <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Correlations between RNA levels and epidemiological and clinical characteristics. Correlations between the viral load (detected in serum, eye swabs, oral swabs, and anal swabs) and variables such as age, BW, BT, RBC, WBC, PLT, ALT, AST, CPK, and TBil. The unit of RNA levels is copies/5-μL. The Pearson correlation (r) is shown at the upper left or lower right of each graph. Statistical significance: * <span class="html-italic">p</span> &lt; 0.05. Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; BT, body temperature; BW, body weight; CPK, creatine phosphokinase; PLT, platelets; RBC, red blood cells; TBil, total bilirubin; WBC, white blood cells.</p>
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<p>Spearman correlation matrixes in total cases, SFTSV-positive and SFTSV-negative cases. Spearman correlation matrixes of individual data, lifestyle, clinical data, and laboratory parameters in (<b>A</b>) total cases, (<b>B</b>) SFTSV-positive cases, and (<b>C</b>) SFTSV-negative cases. Results: SFTS positivity, sex (0: male; 1:female), indoor, outdoor, free roaming, tick parasitism, outcome, diarrhea, vomiting, and lethargy were set as dummy variables (0 vs. 1). Spearman correlation r-values are indicated using the square size and a heat scale. If the standard deviation is 0, the correlation coefficient cannot be calculated; therefore, the cell is labeled “NA.” The statistical significance levels, corrected using the false-discovery rate (FDR), are shown as squares; * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001. Abbreviations: FDR, false-discovery rate; NA, not applicable; SFTS, severe fever with thrombocytopenia syndrome; SFTSV, severe fever with thrombocytopenia syndrome virus.</p>
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<p>Scoring model for SFTS diagnosis. (<b>A</b>) Scoring model to predict infection of SFTSV in cats, based on the β coefficients in the multivariable logistic regression analysis. The scoring model has a possible range of 0 to 6 points. (<b>B</b>) ROC curve for the scoring model to predict SFTSV infection in feline cases. The results of the ROC curve analysis for the scoring model are shown on the lower right. Abbreviations: AUC, area under the curve; CI, confidence interval; NPV, negative predictive value; PPV, positive predictive value; ROC, receiver operating characteristic; SFTS severe fever with thrombocytopenia syndrome; SFTSV, severe fever with thrombocytopenia syndrome virus.</p>
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<p>Phylogenetic tree analysis based on the SFTSV M segment. Maximum likelihood trees of nucleotide sequences from the M segment were constructed using MEGA11. The 16 sequences acquired in this investigation are depicted by circles, where white circles indicate the viruses isolated from survivors and red circles indicate those from fatal cases. The twenty-seven sequences obtained in our previous study are depicted by blue squares.</p>
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17 pages, 3276 KiB  
Article
The Tick Saliva Peptide HIDfsin2 TLR4-Dependently Inhibits the Tick-Borne Severe Fever with Thrombocytopenia Syndrome Virus in Mouse Macrophages
by Luyao Wang, Yishuo Liu, Rui Pang, Yiyuan Guo, Yingying Ren, Yingliang Wu and Zhijian Cao
Antibiotics 2024, 13(5), 449; https://doi.org/10.3390/antibiotics13050449 - 15 May 2024
Cited by 1 | Viewed by 1627
Abstract
Ticks transmit a variety of pathogens to their hosts by feeding on blood. The interactions and struggle between tick pathogens and hosts have evolved bilaterally. The components of tick saliva can directly or indirectly trigger host biological responses in a manner that promotes [...] Read more.
Ticks transmit a variety of pathogens to their hosts by feeding on blood. The interactions and struggle between tick pathogens and hosts have evolved bilaterally. The components of tick saliva can directly or indirectly trigger host biological responses in a manner that promotes pathogen transmission; however, host cells continuously develop strategies to combat pathogen infection and transmission. Moreover, it is still unknown how host cells develop their defense strategies against tick-borne viruses during tick sucking. Here, we found that the tick saliva peptide HIDfsin2 enhanced the antiviral innate immunity of mouse macrophages by activating the Toll-like receptor 4 (TLR4) signaling pathway, thereby restricting tick-borne severe fever with thrombocytopenia syndrome virus (SFTSV) replication. HIDfsin2 was identified to interact with lipopolysaccharide (LPS), a ligand of TLR4, and then depolymerize LPS micelles into smaller particles, effectively enhancing the activation of the nuclear factor kappa-B (NF-κB) and type I interferon (IFN-I) signaling pathways, which are downstream of TLR4. Expectedly, TLR4 knockout completely eliminated the promotion effect of HIDfsin2 on NF-κB and type I interferon activation. Moreover, HIDfsin2 enhanced SFTSV replication in TLR4-knockout mouse macrophages, which is consistent with our recent report that HIDfsin2 hijacked p38 mitogen-activated protein kinase (MAPK) to promote the replication of tick-borne SFTSV in A549 and Huh7 cells (human cell lines) with low expression of TLR4. Together, these results provide new insights into the innate immune mechanism of host cells following tick bites. Our study also shows a rare molecular event relating to the mutual antagonism between tick-borne SFTSV and host cells mediated by the tick saliva peptide HIDfsin2 at the tick–host–virus interface. Full article
(This article belongs to the Special Issue Peptide Antibiotics from Microbes and Venomous Animals, 2nd Edition)
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Graphical abstract

Graphical abstract
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<p>HIDfsin2 suppressed SFTSV replication in MPMs. (<b>A</b>,<b>B</b>) The inhibitory effect of HIDfsin2 on SFTSV replication in MPMs. MPMs were mixed with different concentrations of HIDfsin2 and pre-incubated for 1 h, and then MPMs were infected with SFTSV at an MOI = 1. After 72 h, cell samples were collected, and the SFTSV vRNA and NP protein levels were detected via qRT-PCR (<b>A</b>) and Western blotting (<b>B</b>), respectively. (<b>C</b>) The ratio of SFTSV NP to GAPDH was analyzed using ImageJ software. (<b>D</b>) The effect of HIDfsin2 on the toxicity of MPMs. Different concentrations of HIDfsin2 sample solutions were established; HIDfsin2-free solutions were used as negative controls and blank groups were set up without cells. After incubation for 48 h, the absorbance at 450 nm was measured. Data from three independent experiments were collected and analyzed, and are presented as the means ± SD. ns, no significance. ** <span class="html-italic">p</span> &lt; 0.01. *** <span class="html-italic">p</span> &lt; 0.001.</p>
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<p>HIDfsin2 promoted SFTSV replication in TLR4<sup>−/−</sup>-MPMs. (<b>A</b>) Different expression profile of TLR4 in MPMs and A549 cells. RNA-Seq transcripts of MPMs (GSM3637970/GSM3637976) and A549 cells (GSM5610405/GSM5610406) were obtained from the GEO database, and their TLR gene expression profiles were annotated. (<b>B</b>,<b>C</b>) Dose-dependent promoting effect of HIDfsin2 on the replication of SFTSV in TLR4-knockout MPMs. TLR4<sup>−/−</sup>-MPMs were mixed with different concentrations of HIDfsin2 and pre-incubated at 37 °C for 1 h, and then infected TLR4<sup>−/−</sup>-MPMs cells were infected with SFTSV at an MOI = 1. After 72 h, cell RNA and protein samples were collected, and SFTSV vRNA (<b>B</b>) and SFTSV NP protein (<b>C</b>) were detected, respectively. * <span class="html-italic">p</span> &lt; 0.05. ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>HIDfsin2 interacted with LPS and depolymerized LPS micelles. (<b>A</b>) Calorimetric titration profiles between HIDfsin2 and LPS. The left panel shows the peak of the titration, plotted as power against time. The panel on the right shows the combined heats of the corresponding interaction. Here, 200 μM LPS was titrated against HIDfsin2 at a concentration of 20 μM in double-distilled water (ddH<sub>2</sub>O). (<b>B</b>) The zeta potential between HIDfsin2 and LPS. HIDfsin2 and LPS were dissolved in ddH<sub>2</sub>O, and mixtures with different molar ratios were established and analyzed at room temperature. (<b>C</b>) The secondary structure of HIDfsin2 in LPS solution. Both HIDfsin2 and LPS were prepared with ddH<sub>2</sub>O at 25 μM and measured at room temperature. (<b>D</b>–<b>F</b>) The effect of the tick peptide HIDfsin2 on the size of LPS aggregates. The bar diagrams show the molecular particle sizes measured via DLS. LPS was prepared by aggregation into micelles and kept overnight at 4 °C with a final concentration of 140 μg/mL, and the particle size of free LPS was then measured (<b>D</b>). LPS was prepared by aggregation into micelles and kept overnight at 4 °C with a final concentration of 140 μg/mL, and 28 μM HIDfsin2 was added to the micelles. The mixture was placed at room temperature for 30 min, and then the molecular particle size of LPS was detected (<b>E</b>). HIDfsin2 was dissolved in phosphate-buffered saline (PBS), and its molecular particle size was measured (<b>F</b>). The standard deviation calculated from 3 runs is shown by error bars. (<b>G</b>) Schematic of LPS micelles’ depolymerization by HIDfsin2. The “+” in the red circle represents a positive charge, and the “−” symbols in the green circles represent negative charges.</p>
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<p>HIDfsin2 promoted NF-κB activation and inflammatory cytokine expression. (<b>A</b>–<b>C</b>) The promoting effect of HIDfsin2 on NF-κB activation in LPS-stimulated macrophages. MPMs (<b>A</b>,<b>B</b>) or THP-1<sup>PMA</sup> (<b>C</b>) cells were incubated overnight with serum-free RPMI 1640 medium. Different concentrations of HIDfsin2 and LPS were incubated at 37 °C for 2 h and then added into cells, or HIDfsin2 alone was used to treat MPMs (<b>B</b>). After 24 h, the intracellular protein levels were detected by Western blotting. (<b>D</b>) The promoting effect of HIDfsin2 on p65 nuclear translocation in MPMs. MPMs were pre-treated with serum-free RPMI 1640 medium for 12 h. HIDfsin2 and LPS were incubated at 37 °C for 2 h and then added to MPMs. After 30 min, the cells were fixed in 4% paraformaldehyde, and immunofluorescence staining was performed using an anti-p65 antibody (green). The nucleus was stained with DAPI (blue). (<b>E</b>–<b>G</b>) The promoting effect of HIDfsin2 on the expression of inflammatory cytokines in LPS-stimulated MPMs. MPMs were pre-treated with serum-free medium for 12 h, and then LPS and HIDfsin2 were added simultaneously. After 8 h, RNA was collected and the transcription levels of IL-6 (<b>E</b>), IL-1β (<b>F</b>), and TNF-α (<b>G</b>) were detected by qRT-PCR, respectively. (<b>H</b>–<b>J</b>) The effect of HIDfsin2 alone on the expression of inflammatory cytokines in MPMs. MPMs were pre-treated with serum-free medium for 12 h, and then HIDfsin2 was added. After 8 h, RNA was collected and the transcription levels of IL-6 (<b>H</b>), IL-1β (<b>I</b>), and TNF-α (<b>J</b>) were detected by qRT-PCR. (<b>K</b>–<b>M</b>) The promoting effect of HIDfsin2 on the expression of inflammatory cytokines in LPS-stimulated THP-1<sup>PMA</sup> cells. THP-1<sup>PMA</sup> cells were treated in the same way as MPMs, and the RNA levels of IL-6 (<b>K</b>), IL-1β (<b>L</b>), and TNF-α (<b>M</b>) were detected. Data represent the mean ± SD of at least three independent experiments. ns, no significance. ** <span class="html-italic">p</span> &lt; 0.01. *** <span class="html-italic">p</span> &lt; 0.001. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>HIDfsin2 enhanced interferon and interferon-stimulated gene expression. (<b>A</b>–<b>C</b>). HIDfsin2 enhancement of IFN-β and interferon’s stimulation of genes expression in LPS-induced MPMs. MPMs were pre-treated with serum-free medium for 12 h, and then LPS and HIDfsin2 were added simultaneously. After 8 h, the transcription levels of IFN-β (<b>A</b>), Oasl2 (<b>B</b>), and IFIT1 (<b>C</b>) were detected by qRT-PCR. (<b>D</b>–<b>F</b>) The effect of HIDfsin2 alone on type I interferon pathway in MPMs. After the same treatment, different concentrations of HIDfsin2 were added to MPMs. After 8 h, the expression of IFN-β (<b>D</b>), Oasl2 (<b>E</b>), and IFIT1 (<b>F</b>) was detected by qRT-PCR. ns, no significance. * <span class="html-italic">p</span> &lt; 0.05. ** <span class="html-italic">p</span> &lt; 0.01. *** <span class="html-italic">p</span> &lt; 0.001. **** <span class="html-italic">p</span> &lt; 0.0001.</p>
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<p>HIDfsin2 enhanced the TLR4-mediated activation of the NF-κB pathway. (<b>A</b>) HIDfsin2 depends on TLR4 to enhance the activation of the NF-κB pathway in MPMs. TLR4<sup>−/−</sup>-MPMs were pre-treated with serum-free medium for 12 h, and then LPS and HIDfsin2 were added simultaneously. After 24 h, the expression of P-NF-κB p65 was detected by Western blotting. (<b>B</b>) The ratio of P-NF-κB to NF-κB was analyzed using ImageJ software. (<b>C</b>) HIDfsin2 depends on TLR4 to enhance the nuclear translocation of p65 in MPMs. TLR4<sup>−/−</sup>-MPMs were pre-treated with serum-free RPMI 1640 medium for 12 h; HIDfsin2 and LPS were incubated at 37 °C for 2 h and then added to TLR4<sup>−/−</sup>-MPMs. After 30 min, cells were fixed with 4% paraformaldehyde, and immunofluorescence staining was performed using an anti-p65 antibody (green). The cellular nucleus was stained with DAPI (blue). ns, no significance.</p>
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<p>HIDfsin2 TLR4-dependently promoted the expression of inflammatory cytokines, IFN-β, and ISGs. (<b>A</b>–<b>C</b>) The effect of HIDfsin2 on the expression of inflammatory cytokines in TLR4<sup>−/−</sup>-MPMs. TLR4<sup>−/−</sup>-MPMs were pre-treated with serum-free medium for 12 h, and then LPS and HIDfsin2 were added simultaneously. After 8 h, the transcription levels of IL-6 (<b>A</b>), IL-1β (<b>B</b>), and TNF-α (<b>C</b>) were detected using qRT-PCR. (<b>D</b>–<b>F</b>) HIDfsin2 ability to enhance the expression of IFN-β and ISGs in MPMs depended on TLR4. After the same treatment, different concentrations of HIDfsin2 were added to TLR4<sup>−/−</sup>-MPMs. After 8 h, the expressions of IFN-β (<b>D</b>), Oasl2 (<b>E</b>), and IFIT1 (<b>F</b>) were detected using qRT-PCR. ns, no significance.</p>
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7 pages, 1328 KiB  
Brief Report
Correlation between the Cycle Threshold Values in Detection of Severe Fever with Thrombocytopenia Syndrome Virus Using PowerChekTM SFTSV Real-Time PCR Kit and Viral Load: Prognostic Implications
by Misun Kim, Sang Taek Heo, Hee Cheol Kim, Myeong Jin Kang, Sora Kim, Keun Hwa Lee and Jeong Rae Yoo
Viruses 2024, 16(5), 700; https://doi.org/10.3390/v16050700 - 29 Apr 2024
Cited by 2 | Viewed by 1676
Abstract
Background: This study aimed to analyze the correlation between the cycle threshold (Ct) values of severe fever with thrombocytopenia syndrome (SFTS) virus small (S) and middle (M) segments and the SFTS viral load, aiming to estimate the initial viral load and predict prognosis [...] Read more.
Background: This study aimed to analyze the correlation between the cycle threshold (Ct) values of severe fever with thrombocytopenia syndrome (SFTS) virus small (S) and middle (M) segments and the SFTS viral load, aiming to estimate the initial viral load and predict prognosis in the early clinical course. Method: A retrospective study was conducted with confirmed SFTS patients at Jeju National University Hospital (2016–2022). Patients were categorized into non-fatal and fatal groups. Results: This study included 49 patients with confirmed SFTS (non-fatal group, n = 42; fatal group, n = 7). A significant negative correlation (−0.783) was observed between the log SFTS viral load and Ct values (p < 0.001). This negative correlation was notably stronger in the fatal group (correlation coefficient −0.940) than in the non-fatal group (correlation coefficient −0.345). Conclusion: In this study, we established a correlation between SFTS viral load and Ct values for estimating the initial viral load and early predicting prognosis. These results are expected to offer valuable insights for SFTS patient treatment and prognosis prediction. Full article
(This article belongs to the Special Issue Severe Fever with Thrombocytopenia Syndrome Virus 3.0)
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Figure 1

Figure 1
<p>Correlation between severe fever with thrombocytopenia syndrome (SFTS) viral load and short-segment cycle threshold (Ct) value. (<b>A</b>) Total SFTS patients (<span class="html-italic">n</span> = 49). (<b>B</b>) Fatal group (<span class="html-italic">n</span> = 7). (<b>C</b>) Non-fatal group (<span class="html-italic">n</span> = 42).</p>
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<p>Mean severe fever with thrombocytopenia syndrome (SFTS) viral load (log SFTS viral load) and short-segment cycle threshold (Ct) value by interval. The Ct values were divided into five intervals (&lt;21, 21–25, &gt;25–29, &gt;29–33, and &gt;33), and the mean viral load values were compared for each interval.</p>
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13 pages, 2979 KiB  
Article
Comparative Analysis of Bisexual and Parthenogenetic Populations in Haemaphysalis Longicornis
by Chaoyue Zhao, Guonan Cai, Xing Zhang, Xinyu Liu, Pengfei Wang and Aihua Zheng
Microorganisms 2024, 12(4), 823; https://doi.org/10.3390/microorganisms12040823 - 19 Apr 2024
Cited by 2 | Viewed by 1819
Abstract
Haemaphysalis longicornis, a three-host tick with a wide host range, is widely distributed in different countries and regions. It stands out among ticks due to its unique feature of having both parthenogenetic and bisexual populations. Despite their morphological resemblance, the characteristics of [...] Read more.
Haemaphysalis longicornis, a three-host tick with a wide host range, is widely distributed in different countries and regions. It stands out among ticks due to its unique feature of having both parthenogenetic and bisexual populations. Despite their morphological resemblance, the characteristics of the parthenogenetic population have been overlooked. In this comprehensive study, we systematically compared the similarities and differences between these two populations. Our investigation revealed that the parthenogenetic H. longicornis, widely distributed in China, was found in ten provinces, surpassing the previously reported distribution. Notably, individuals from the parthenogenetic population exhibited a prolonged blood-feeding duration during the larval and nymph stages compared to their bisexual counterparts. Additionally, the life cycle of the parthenogenetic population was observed to be longer. A flow cytometry analysis indicated a DNA content ratio of approximately 2:3 between the bisexual and parthenogenetic populations. A phylogenetic analysis using whole mitochondrial genome sequences resulted in the separation of the phylogenetic tree into two distinct branches. A molecular analysis unveiled a consistent single T-base deletion at nucleotide 8497 in the parthenogenetic population compared to the bisexual population. Both populations displayed high viral infection capability and significant resistance to ivermectin. Intriguingly, despite these differences, the parthenogenetic population exhibited a similar life cycle to the bisexual population, retaining the ability to transmit pathogens such as Severe fever with thrombocytopenia syndrome virus (SFTSV) and Heartland Virus (HRTV). These findings contribute to a deeper understanding of the distinct characteristics and similarities between different populations of H. longicornis, laying the foundation for future research in this field. Full article
(This article belongs to the Section Parasitology)
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Figure 1
<p>Geographical distribution of ticks collected in China. (<b>A</b>) Tick collection and distribution. The colored areas are the provinces where ticks were collected. Bright yellow areas are the provinces where <span class="html-italic">Haemaphysalis longicornis</span> were collected, while dark yellow ones are the provinces where they were not. (<b>B</b>) Percentage of <span class="html-italic">H. longicornis</span> collected in total ticks in each province. ‘Others’ represent ticks that are not <span class="html-italic">H. longicornis</span>. The numbers in parentheses after each province represent the total number of ticks collected in that province.</p>
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<p>Geographical distribution of bisexual and parthenogenetic <span class="html-italic">Haemaphysalis longicornis</span> collected in China. (<b>A</b>) Distribution of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span> in China. Green areas indicate parthenogenetic <span class="html-italic">H. longicornis</span>, blue areas indicate bisexual <span class="html-italic">H. longicornis</span>, brown areas indicate both bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>, and grey areas indicate that there were no <span class="html-italic">H. longicornis</span> collected. (<b>B</b>) Distribution of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span> in different provinces. The number and percentage of <span class="html-italic">H. longicornis</span> with different reproductive styles. Red represents bisexual <span class="html-italic">H. longicornis</span> (diploid) and blue represents parthenogenetic <span class="html-italic">H. longicornis</span> (triploid).</p>
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<p>Differences in morphology and blood-meal time between bisexual and parthenogenetic <span class="html-italic">Haemaphysalis longicornis</span>. (<b>A</b>) Comparison of blood-meal time between bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>. Green indicates the blood-meal time of bisexual <span class="html-italic">H. longicornis</span> and blue indicates the blood-meal time of parthenogenetic <span class="html-italic">H. longicornis</span>. The arrow indicates feeding with it. (<b>B</b>) Changes in body weight of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>. Green represents bisexual <span class="html-italic">H. longicornis</span>, blue represents parthenogenetic <span class="html-italic">H. longicornis</span>, and gray represents bisexual adult male <span class="html-italic">H. longicornis</span>.</p>
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<p>Differences in ploidy and genome between bisexual and parthenogenetic <span class="html-italic">Haemaphysalis longicornis</span>. (<b>A</b>) Flow cytometry histograms of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>. Ploidy of <span class="html-italic">H. longicornis</span> was tested by using flow cytometry and measuring the fluorescence intensity of cell nuclei stained with 4′,6-diamidino-2-phenylindole. DNA content per cell frequency distribution of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>. The relative DNA content in the G1 phase (the first peak) for bisexual population was 51 and was 75 for the parthenogenetic population. (<b>B</b>) Phylogenetic analysis of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>. Phylogenetic analysis of bisexual (blue) and parthenogenetic (red) <span class="html-italic">H. longicornis</span> in the Asia–Pacific region. Maximum likelihood trees were established with mitochondrial genomes of ticks collected in the Asia-Pacific region. Numbers indicate multiple <span class="html-italic">H. longicornis</span> from the same county. (<b>C</b>) Mitochondrial genome alignment between bisexual and parthenogenetic <span class="html-italic">H. longicornis</span>. The upper six sequences are from bisexual <span class="html-italic">H. longicornis</span> and the lower six sequences are from parthenogenetic <span class="html-italic">H. longicornis</span>.</p>
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<p>Susceptibility of bisexual and parthenogenetic <span class="html-italic">Haemaphysalis longicornis</span> to HRTV virus. Groups of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span> adult ticks were infected with 1000 PFU of HRTV by microinjection. Seven days post-infection, total RNA samples from 8 ticks were extracted, and the viral RNA levels were detected by real-time PCR (n = 3). Each dot represents one tick. ns, not significant.</p>
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<p>Susceptibility of bisexual and parthenogenetic <span class="html-italic">Haemaphysalis longicornis</span> to SFTS virus. Groups of bisexual and parthenogenetic <span class="html-italic">H. longicornis</span> nymph ticks were fed separately on one IFNAR<sup>−/−</sup> C57/BL6 mouse that was intraperitoneally inoculated with 2 × 10<sup>3</sup> FFU of SFTSV. (<b>A</b>) Viremia of IFNAR<sup>−/−</sup> C57/BL6 mice was monitored by real-time PCR during tick feeding. (<b>B</b>) SFTSV RNA of the ticks was tested by real-time PCR after they molted into adults. Each dot or square indicates one tick. Black horizontal bars indicate means. ns, not significant.</p>
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<p>Resistance of bisexual and parthenogenetic <span class="html-italic">Haemaphysalis longicornis</span> to ivermectin on the small mammals. BALB/c mice were fed with different concentrations of ivermectin-soaked rat chow and dried hydatids, and the items of <span class="html-italic">H. longicornis</span> were observed. (<b>A</b>) Survival rate, (<b>B</b>) detachment speed, and (<b>C</b>) engorged rate relative to untreated ticks.</p>
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15 pages, 4972 KiB  
Article
Difference in Intraspecies Transmissibility of Severe Fever with Thrombocytopenia Syndrome Virus Depending on Abrogating Type 1 Interferon Signaling in Mice
by Byungkwan Oh, Seok-Chan Park, Myeon-Sik Yang, Daram Yang, Gaeul Ham, Dongseob Tark, Myung Jo You, Sang-Ik Oh and Bumseok Kim
Viruses 2024, 16(3), 401; https://doi.org/10.3390/v16030401 - 5 Mar 2024
Viewed by 1925
Abstract
Severe fever with thrombocytopenia syndrome (SFTS), a tick-borne zoonotic disease, is caused by infection with SFTS virus (SFTSV). A previous study reported that human-to-human direct transmission of SFTSV can occur. However, potential animal-to-animal transmission of SFTSV without ticks has not been fully clarified. [...] Read more.
Severe fever with thrombocytopenia syndrome (SFTS), a tick-borne zoonotic disease, is caused by infection with SFTS virus (SFTSV). A previous study reported that human-to-human direct transmission of SFTSV can occur. However, potential animal-to-animal transmission of SFTSV without ticks has not been fully clarified. Thus, the objective of this study was to investigate potential mice-to-mice transmission of SFTSV by co-housing three groups of mice [i.e., wild-type mice (WT), mice injected with an anti-type I interferon-α receptor-blocking antibody (IFNAR Ab), and mice with knockout of type I interferon-α receptor (IFNAR KO)] as spreaders or recipients with different immune competence. As a result, co-housed IFNAR Ab and IFNAR KO mice showed body weight loss with SFTS viral antigens detected in their sera, extracorporeal secretions, and various organs. Based on histopathology, white pulp atrophy in the spleen was observed in all co-housed mice except WT mice. These results obviously show that IFNAR Ab and IFNAR KO mice, as spreaders, exhibited higher transmissibility to co-housed mice than WT mice. Moreover, IFNAR KO mice, as recipients, were more susceptible to SFTSV infection than WT mice. These findings suggest that type I interferon signaling is a pivotal factor in mice intraspecies transmissibility of SFTSV in the absence of vectors such as ticks. Full article
(This article belongs to the Special Issue Tick-Borne Viruses: Transmission and Surveillance)
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<p>Experimental design. WT (Black), IFNAR Ab (Blue), and IFNAR KO (Red) mice served as spreader and recipient groups, respectively. (<b>A</b>–<b>C</b>) Spreader group mice were IP inoculated with SFTSV (KH1; 1.3 × 10<sup>6</sup> FAID<sub>50</sub>). Each group had two cages. Six mice of the inoculated group and six mice of the co-housed group were housed in individual cages (2 cages for each group).</p>
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<p>Confirmation of SFTSV transmission from WT mice to immunocompromised mice. (<b>A</b>) Survival rate and body weight are presented as percentages. (<b>B</b>) Viral load detected in sera, tears, saliva, and urine obtained in SFTSV-WT and Co-KO groups. (<b>C</b>) STFS viral qPCR results. (<b>D</b>) Black arrows indicate moderate multifocal inflammatory foci in the liver, and asterisks indicate white pulp atrophy in the spleen. H&amp;E staining scale bar: 100 μm and 500 μm. (<b>E</b>) SFTSV NP antigen-positive cells were detected around the white pulp in the spleen. IHC staining scale bar: 100 μm and 50 μm. Data are expressed as means ± SEM. Statistical analysis: An unpaired <span class="html-italic">t</span>-test was used to compare each group’s body weight. Mann–Whitney test was used to compare SFTS viral copy number: **, <span class="html-italic">p</span> &lt; 0.01; *, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Confirmation of SFTSV transmission from WT mice to immunocompromised mice. (<b>A</b>) Survival rate and body weight are presented as percentages. (<b>B</b>) Viral load detected in sera, tears, saliva, and urine obtained in SFTSV-WT and Co-KO groups. (<b>C</b>) STFS viral qPCR results. (<b>D</b>) Black arrows indicate moderate multifocal inflammatory foci in the liver, and asterisks indicate white pulp atrophy in the spleen. H&amp;E staining scale bar: 100 μm and 500 μm. (<b>E</b>) SFTSV NP antigen-positive cells were detected around the white pulp in the spleen. IHC staining scale bar: 100 μm and 50 μm. Data are expressed as means ± SEM. Statistical analysis: An unpaired <span class="html-italic">t</span>-test was used to compare each group’s body weight. Mann–Whitney test was used to compare SFTS viral copy number: **, <span class="html-italic">p</span> &lt; 0.01; *, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Higher SFTSV transmissibility in IFNAR KO mice than in WT mice. (<b>A</b>) Survival rate and body weight are presented as percentages. (<b>B</b>) Viral load detected in sera, tears, saliva, and urine obtained from SFTSV-KO and Co-KO mice. (<b>C</b>) STFS viral qPCR. (<b>D</b>) Black arrows indicate mild multifocal inflammatory foci in the liver. Arrowhead indicates perivascular mononuclear inflammatory cell infiltration in the liver. Asterisks indicate white pulp atrophy in the spleen. Box indicates focal necrosis area in the spleen of a fatal case. H&amp;E staining scale bar: 100 μm and 500 μm. (<b>E</b>) SFTSV NP antigen-positive cells were detected around the white pulp in the spleen. IHC staining scale bar: 100 μm and 50 μm. Data are expressed as means ± SEM. Statistical analysis: An unpaired <span class="html-italic">t</span>-test was used to compare each group’s body weight. Mann–Whitney test was used to compare SFTS viral copy number: ****, <span class="html-italic">p</span> &lt; 0.0001; ***, <span class="html-italic">p</span> &lt; 0.001; and *, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>Higher SFTSV transmissibility in IFNAR KO mice than in WT mice. (<b>A</b>) Survival rate and body weight are presented as percentages. (<b>B</b>) Viral load detected in sera, tears, saliva, and urine obtained from SFTSV-KO and Co-KO mice. (<b>C</b>) STFS viral qPCR. (<b>D</b>) Black arrows indicate mild multifocal inflammatory foci in the liver. Arrowhead indicates perivascular mononuclear inflammatory cell infiltration in the liver. Asterisks indicate white pulp atrophy in the spleen. Box indicates focal necrosis area in the spleen of a fatal case. H&amp;E staining scale bar: 100 μm and 500 μm. (<b>E</b>) SFTSV NP antigen-positive cells were detected around the white pulp in the spleen. IHC staining scale bar: 100 μm and 50 μm. Data are expressed as means ± SEM. Statistical analysis: An unpaired <span class="html-italic">t</span>-test was used to compare each group’s body weight. Mann–Whitney test was used to compare SFTS viral copy number: ****, <span class="html-italic">p</span> &lt; 0.0001; ***, <span class="html-italic">p</span> &lt; 0.001; and *, <span class="html-italic">p</span> &lt; 0.05.</p>
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<p>IFNAR KO mice have higher susceptibility to SFTSV than WT mice. (<b>A</b>) Survival rate and body weight are presented as percentages. (<b>B</b>) Viral loads were detected in sera, tears, saliva, and urine obtained from SFTSV-Ab group and three co-housed mice groups. (<b>C</b>) SFTS viral qPCR. (<b>D</b>) Black arrows indicate mild multifocal inflammatory foci in the liver. Crosshatch indicates focal necrosis area in the liver. Asterisks indicate white pulp atrophy in the spleen. SFTSV NP antigen-positive cells were detected around the white pulp in the spleen. H&amp;E staining scale bar: 100 μm and 500 μm. IHC staining scale bar: 100 μm. (<b>E</b>) Black arrow indicates minor multifocal inflammatory foci in the liver. Crosshatches in the liver suggest a focal necrosis region. Asterisks indicate splenic white pulp atrophy. H&amp;E staining scale bar: 100 μm and 500 μm. IHC staining scale bar: 100 μm. Data are expressed as means  ±  SEM. Statistical analysis: An unpaired <span class="html-italic">t</span>-test was used to compare each group’s body weight. Mann–Whitney test was used to compare SFTS viral copy number: ****, <span class="html-italic">p</span> &lt; 0.0001; ***, <span class="html-italic">p</span> &lt; 0.001; **, <span class="html-italic">p</span> &lt; 0.01; and *, <span class="html-italic">p</span> &lt; 0.05.</p>
Full article ">Figure 4 Cont.
<p>IFNAR KO mice have higher susceptibility to SFTSV than WT mice. (<b>A</b>) Survival rate and body weight are presented as percentages. (<b>B</b>) Viral loads were detected in sera, tears, saliva, and urine obtained from SFTSV-Ab group and three co-housed mice groups. (<b>C</b>) SFTS viral qPCR. (<b>D</b>) Black arrows indicate mild multifocal inflammatory foci in the liver. Crosshatch indicates focal necrosis area in the liver. Asterisks indicate white pulp atrophy in the spleen. SFTSV NP antigen-positive cells were detected around the white pulp in the spleen. H&amp;E staining scale bar: 100 μm and 500 μm. IHC staining scale bar: 100 μm. (<b>E</b>) Black arrow indicates minor multifocal inflammatory foci in the liver. Crosshatches in the liver suggest a focal necrosis region. Asterisks indicate splenic white pulp atrophy. H&amp;E staining scale bar: 100 μm and 500 μm. IHC staining scale bar: 100 μm. Data are expressed as means  ±  SEM. Statistical analysis: An unpaired <span class="html-italic">t</span>-test was used to compare each group’s body weight. Mann–Whitney test was used to compare SFTS viral copy number: ****, <span class="html-italic">p</span> &lt; 0.0001; ***, <span class="html-italic">p</span> &lt; 0.001; **, <span class="html-italic">p</span> &lt; 0.01; and *, <span class="html-italic">p</span> &lt; 0.05.</p>
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12 pages, 828 KiB  
Article
Tick Diversity and Pathogen Transmission in Daejeon, Korea: Implications from Companion Animals and Walking Trails
by Jinwoo Seo, Gyurae Kim, Jeong-ah Lim, Seungho Song, Dae-Sung Yoo, Ho-Seong Cho and Yeonsu Oh
Vet. Sci. 2024, 11(2), 90; https://doi.org/10.3390/vetsci11020090 - 14 Feb 2024
Cited by 1 | Viewed by 2398
Abstract
With the ongoing global warming-induced climate change, there has been a surge in vector-borne diseases, particularly tick-borne diseases (TBDs). As the population of companion animals grows, there is growing concern from a One Health perspective about the potential for these animals to spread [...] Read more.
With the ongoing global warming-induced climate change, there has been a surge in vector-borne diseases, particularly tick-borne diseases (TBDs). As the population of companion animals grows, there is growing concern from a One Health perspective about the potential for these animals to spread TBDs. In this study, ticks were collected from companion animals and the surrounding environment in Daejeon Metropolitan City, Korea, using flagging and dragging, and CO2 trap methods. These ticks were then subjected to conventional (nested) PCR for severe fever with thrombocytopenia syndrome virus (SFTSV), Anaplasma spp., Ehrlichia spp., and Borrelia spp. We identified a total of 29,176 ticks, consisting of three genera and four species: H. longicornis, H. flava, I. nipponensis, and A. testudinarium. Notably, H. longicornis was the predominant species. The presence of A. testudinarium suggested that the species traditionally found in southern regions are migrating northward, likely as a result of climate change. Our PCR results confirmed the presence of all four pathogens in both companion animals and the surrounding environment, underscoring the potential for the indirect transmission of tick-borne pathogens to humans through companion animals. These findings emphasize the importance of the ongoing surveillance of companion animals in the management and control of TBDs. Full article
(This article belongs to the Special Issue Control Strategies of Ticks and Tick-Borne Pathogens)
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Figure 1

Figure 1
<p>Collecting sites of ticks in Daejeon Metropolitan City, Korea. Daejeon Metroplitan City has five districts (Dong-gu, Jung-gu, Seo-gu, Yuseong-gu, and Daedeok-gu). The urban walking trails selected in each district are marked with dots (green, Dong-gu; orange, Jung-gu; blue, Seo-gu; purple, Yuseong-gu; red, Daedeok-gu).</p>
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